Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the readOnlyHint/openWorldHint annotations, the description discloses provenance (official open data and OpenStreetMap) and a refresh cadence (weekly), which sets expectations about freshness and authority. It also flags the semantic caveat that some returned categories are not actually free — a meaningful behavioral disclosure. No pagination or ordering behaviour is described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that leads with the core resource before enumerating categories and caveats. The long parenthetical makes it slightly dense, but every clause carries information an agent would otherwise have to guess.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter, zero-required, read-only query tool with no output schema, the description covers domain scope, category semantics, geography and data provenance well. The only omissions are how results are ordered/truncated by limit and what a record looks like, both minor for a listing tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description earns more by expanding the opaque enum tokens: CPIA is glossed as state schools for adults with free courses, digitale_facile as free help with SPID and online services, consultori familiari and camper areas/service points are explained. That is genuine meaning the enum labels alone do not convey.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a concrete resource set (free public services in/near an Italian municipality) and enumerates the eight categories covered, so an agent knows exactly what comes back. It does not explicitly contrast itself with the nearest siblings (search_places, get_place), which keeps it out of 5 territory.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: find free services for a given comune/region. The parenthetical about coworking, car sharing and bike sharing not being free but listed for remote workers and people without a car usefully explains why those categories are present. There is no explicit when-not-to-use or pointer to search_places/get_place for general place lookup.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.